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Conversion of Agricultural Land to Non-agricultural Uses

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Bangladesh Development Studies<br />

Vol. XXXIV, March 2011, No. 1<br />

<strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong><br />

<strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> in Bangladesh:<br />

Extent and Determinants<br />

MD ABUL QUASEM *<br />

Bangladesh is a land scarce country where per capita cultivated land is only<br />

12.5 decimals. It is claimed that every year about one per cent <strong>of</strong> farm land in<br />

the country is being converted <strong>to</strong> non-<strong>agricultural</strong> uses (such high rate <strong>of</strong><br />

conversion will not only hamper <strong>agricultural</strong> production but will have adverse<br />

impact on food security). The present study estimates the rate <strong>of</strong> land<br />

conversion and consequent loss <strong>of</strong> <strong>agricultural</strong> production <strong>of</strong> the country<br />

besides determining the fac<strong>to</strong>rs affecting such conversion. The study is based<br />

mainly on field survey covering 24 villages from six divisions <strong>of</strong> the country<br />

Annual <strong>Conversion</strong> <strong>of</strong> farm land is estimated <strong>to</strong> be 0.56 per cent and the<br />

country’s loss <strong>of</strong> rice production is also estimated <strong>to</strong> be between 0.86 and 1.16<br />

per cent. The converted land is predominantly used for construction <strong>of</strong> houses,<br />

followed by roads and establishment <strong>of</strong> business enterprises. The land poor<br />

records higher rate <strong>of</strong> land conversion. The two principal determining fac<strong>to</strong>rs<br />

for such conversion are found <strong>to</strong> be land ownership size <strong>of</strong> a household and<br />

the non-<strong>agricultural</strong> occupation <strong>of</strong> household heads. To arrest the existing rate<br />

<strong>of</strong> land conversion, the surveyed households suggest for more pr<strong>of</strong>itable rates<br />

<strong>of</strong> return from farming activities besides imposing special sales tax for<br />

conversion <strong>of</strong> farm land.<br />

I.1 Background <strong>of</strong> the Study<br />

I. INTRODUCTION<br />

With the growth <strong>of</strong> a country’s economy, <strong>agricultural</strong> land is usually transferred<br />

<strong>to</strong> non-agriculture as the demand for non-farm products and services increases. This<br />

* The author is a former Senior Research Fellow <strong>of</strong> the Bangladesh Institute <strong>of</strong> Development<br />

Studies (BIDS), Dhaka. He expresses his deep sense <strong>of</strong> gratitude <strong>to</strong> the anonymous referee<br />

for his wide ranging comments on the paper. He is grateful <strong>to</strong> the Krishi Gobeshana<br />

Foundation (GKF), Dhaka for financing the research project, “<strong>Agricultural</strong> <strong>Land</strong> Loss and<br />

Food Security in Bangladesh: An Assessment” carried out in collaboration with the<br />

Bangladesh Unnayan Parishad (BUP), Dhaka. His sincere gratitudes is also due <strong>to</strong> several<br />

researchers <strong>of</strong> BIDS, GKF and BUP for their valuable suggestions while carrying out the<br />

study.


60<br />

Bangladesh Development Studies<br />

is specially so when the country’s population and its per capita income rise.<br />

Transfer <strong>of</strong> farm land <strong>to</strong> non-agriculture is also needed for expansion <strong>of</strong> housing<br />

facilities in both rural and urban localities. Such transfer is also evidenced in<br />

building infrastructures such as roads, markets, educational institutions, electricity<br />

and industrial establishments, etc.<br />

We are not aware <strong>of</strong> the extent <strong>of</strong> conversion <strong>of</strong> farm land for non-<strong>agricultural</strong><br />

uses in Bangladesh and consequent production losses in agriculture. It is generally<br />

claimed that in Bangladesh every year over 80 thousand hectares <strong>of</strong> <strong>agricultural</strong><br />

land i.e. nearly one per cent a year (Planning Commission 2009) is being converted<br />

<strong>to</strong> non-agriculture. This is definitely a matter <strong>of</strong> serious concern for the land-scarce<br />

country like Bangladesh where per capita cultivated area is only 15 decimals. This<br />

is <strong>to</strong>o meagre an amount for the country’s food security as the productivity <strong>of</strong> land<br />

in Bangladesh is also low. Another case study, carried out in 2004 by Direc<strong>to</strong>rate <strong>of</strong><br />

<strong>Land</strong> Records and Surveys (DLRS) <strong>of</strong> the Ministry <strong>of</strong> <strong>Land</strong> in Palas Upazilla <strong>of</strong><br />

Narsingdi and Sonargaon <strong>of</strong> Narayanganj district, observed a substantial decline in<br />

the share <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> the extent <strong>of</strong> 27 per cent in Palas and 16 per cent in<br />

Sonargaon during the period <strong>of</strong> 20 and 25 years respectively (1983-2003; 1978-<br />

2003) i.e. more than one per cent per year. On the other hand, there has been<br />

several-fold increase in the area under housing and permanent fallows in both these<br />

areas.<br />

The recently completed report on Agriculture Sample Survey <strong>of</strong> Bangladesh-<br />

2005 by Bangladesh Bureau <strong>of</strong> Statistics (BBS) does not, however, show such high<br />

rate <strong>of</strong> decline in cultivated land. Total cultivated land <strong>of</strong> all holdings in rural<br />

Bangladesh amounts <strong>to</strong> 17.77 million acres in 2005 which was almost the same in<br />

1996 i.e. before nine years (Table I). This is difficult <strong>to</strong> explain. It seems <strong>to</strong> be due<br />

<strong>to</strong> conversion <strong>of</strong> forest and low lying fishing land as well as newly accreted char<br />

land <strong>to</strong> crop cultivations; this needs careful investigation. It may, however, be noted<br />

that the cultivated area per farm household has over time reduced <strong>to</strong> 1.20 acres in<br />

2005 from 1.50 acres, recorded in 1996. This is largely due <strong>to</strong> a sharp rise in the<br />

number <strong>of</strong> rural farm households, by 24 per cent, from 11.8 million in 1996 <strong>to</strong> 14.7<br />

million in 2005.<br />

The recently completed <strong>Agricultural</strong> Census-2008 finds the number <strong>of</strong> farm<br />

households (14.40 million) almost equal <strong>to</strong> the figure <strong>of</strong> 2005 (14.47 million)<br />

accounting for 56.74 per cent <strong>of</strong> <strong>to</strong>tal rural households <strong>of</strong> the country. During the 12<br />

year period <strong>of</strong> 1996 <strong>to</strong> 2008 the number <strong>of</strong> rural families increased from 17.8<br />

million <strong>to</strong> 25.36 million i.e. an increase by 42.5 per cent. All these new families<br />

must have residential accommodations largely derived from the existing<br />

<strong>Agricultural</strong> land, indicating their absolute decline over time. The Government <strong>of</strong>


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 61<br />

Bangladesh is very much aware <strong>of</strong> such conversion <strong>of</strong> <strong>agricultural</strong> land and<br />

accordingly it has framed the National <strong>Land</strong> Use Policy-2001 keeping in view the<br />

competitive use <strong>of</strong> land for food production, housing, urbanisation and environment<br />

protection. The Policy has also emphasized the efficient use <strong>of</strong> land <strong>to</strong> ensure<br />

minimum level <strong>of</strong> food security <strong>to</strong> people and suggests restrictive use <strong>of</strong> land for<br />

housing, physical infrastructures and other constructions. For full-fledged<br />

implementation <strong>of</strong> the Policy, the <strong>Land</strong> Act is being formulated.<br />

In Bangladesh, the average cultivated holding is <strong>to</strong>o small for sustainable<br />

livelihood <strong>of</strong> farmers, especially <strong>of</strong> the marginal and small ones. The land<br />

transferred <strong>to</strong> non-agriculture is derived mainly from the land poor (up<strong>to</strong> 2.49 acres)<br />

constituting 88 per cent <strong>of</strong> <strong>to</strong>tal farm holdings. They are thus, becoming more<br />

vulnerable <strong>to</strong> food insecurity. Increasing number <strong>of</strong> functionally landless and the<br />

tenant farm households seem <strong>to</strong> have been already affected by the reduced size <strong>of</strong><br />

farms and land degradation due <strong>to</strong> intensive cropping.<br />

TABLE I<br />

CULTIVATED AREA IN THE THREE CENSUS/SURVEYS<br />

OF BANGLADESH<br />

(in ‘000 acres)<br />

Census/Survey Year<br />

Cultivated Area <strong>of</strong><br />

All Holdings Farm Holdings<br />

Agriculture Sample Survey-2005<br />

Total 18,084 18,047<br />

Rural 17,725 17,692<br />

Agriculture Census-Rural 1996 17,771 17,749<br />

Agriculture Census-1983/84 20,158 20,139<br />

Source: BBS (2006).<br />

Note: Net cultivated area is the area actually cropped during the census year regardless <strong>of</strong><br />

the number <strong>of</strong> crops grown and it includes the area under temporary crops, current<br />

fallow, and permanent crops (Fruits wood trees); In other words, it is the actual area<br />

occupying perennial and non-perennial crops and area under current fallow.<br />

I.2 Objectives <strong>of</strong> the Study<br />

There has hardly been any study in the area <strong>of</strong> conversion <strong>of</strong> farm land <strong>to</strong> non<strong>agricultural</strong><br />

uses. The present study has been initiated with the objective <strong>of</strong><br />

assessing the loss <strong>of</strong> farm land <strong>to</strong> non-agriculture during the eight year period <strong>of</strong><br />

2001-2008 and identify the fac<strong>to</strong>rs affecting such conversion <strong>of</strong> land and also


62<br />

Bangladesh Development Studies<br />

investigate in<strong>to</strong> the current pattern <strong>of</strong> non-<strong>agricultural</strong> uses. To be more specific, the<br />

main objectives <strong>of</strong> the study are <strong>to</strong>:<br />

i. Estimate annual conversion <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> non-agriculture and<br />

consequent loss <strong>of</strong> crop production during the eight year period <strong>of</strong> 2001 <strong>to</strong><br />

2008;<br />

ii. Investigate in<strong>to</strong> the present pattern <strong>of</strong> non-<strong>agricultural</strong> uses <strong>of</strong> the converted<br />

land;<br />

iii. Determine the fac<strong>to</strong>rs affecting such conversion <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> nonagriculture;<br />

and<br />

iv. Suggest suitable policy measures <strong>to</strong>wards protection <strong>of</strong> farm land in the<br />

country.<br />

I.3 The Survey Methodology and Analysis <strong>of</strong> Data<br />

The study is based primarily on a field survey carried out in 24 villages spread<br />

over in all six administrative divisions <strong>of</strong> the country i.e. four in each division. In<br />

each division besides the city localities one district <strong>to</strong>wn and in that selected district,<br />

one Upazilla <strong>to</strong>wn was selected purposively. The selected district was Laxmipur in<br />

the Chittaging division and Sunamganj from Sylhet, Faridpur from Dhaka, Naogaon<br />

from Rajshahi, Jhenaidah from Khulna and Pirojpur from Barisal Division. The<br />

Upazillas selected in those districts were respectively Raipur, Jamalganj, Sadarpur,<br />

Mohadevpur, Kaliganj and Sharup Kathi as Shown in Table II. In each <strong>of</strong> the<br />

selected Upazillas another set <strong>of</strong> six villages in rural areas was also included in the<br />

survey <strong>to</strong> compare the extent <strong>of</strong> land conversion in actual rural areas vis-avis urban<br />

conditions at every level <strong>of</strong> the City, District and Upazilla, termed as Metro village,<br />

Urban village, Peri-urban village respectively. The name <strong>of</strong> the village and their<br />

locations may be seen in Table II .<br />

The selection <strong>of</strong> villages for field survey at the outskirts <strong>of</strong> the cities and <strong>to</strong>wns<br />

was quite complex as we first had <strong>to</strong> capture the area potential for urban expansion<br />

and industrialisation that existed eight years ago keeping in mind the level <strong>of</strong> land<br />

conversion that <strong>to</strong>ok place during the study period <strong>of</strong> early 2001 <strong>to</strong> end 2008. To<br />

understand the recent trend in the changes in land use, the selected villages should<br />

have the normal access <strong>to</strong> the cities and <strong>to</strong>wns leaving at present 20 <strong>to</strong> 30 per cent <strong>of</strong><br />

the village area under agriculture indicating that there is still scope for land<br />

conversion <strong>to</strong> non-agriculture. It also suggests that eight years back there was no<br />

limitation <strong>to</strong> land conversion as far as land availability was concerned. Furthermore,<br />

the villages should not be <strong>of</strong> very much low-lying <strong>to</strong>pography that was abnormally<br />

flooded that might restrict land conversion. So, for the selection <strong>of</strong> representative


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 63<br />

villages at the outskirt <strong>of</strong> each category <strong>of</strong> <strong>to</strong>wn, one needs <strong>to</strong> visit several villages<br />

around all the selected <strong>to</strong>wns and consult several groups <strong>of</strong> urban and peri-urban<br />

dwellers <strong>to</strong> understand the previous situations. In the selection <strong>of</strong> rural villages care<br />

was also taken <strong>to</strong> cover very similar <strong>to</strong> the one slected near the Upazilla centre.<br />

In each <strong>of</strong> the selected villages 25 households were selected at random from the<br />

list <strong>of</strong> resident farmers, prepared earlier by the Sub-Assistant <strong>Agricultural</strong> Officers<br />

(SAAO) <strong>of</strong> the Department <strong>of</strong> <strong>Agricultural</strong> Extension (DAE). The enlisted farmers<br />

were found <strong>to</strong> include predominantly the resident land owners <strong>of</strong> different sizes.<br />

These households were interviewed following a structured questionnaire that<br />

contains household information relating <strong>to</strong> area owned and its uses, size <strong>of</strong> the<br />

family, occupation <strong>of</strong> the household head, amount <strong>of</strong> land converted in the last 8<br />

years from January 2001 <strong>to</strong> December 2008, current non-agriculture uses <strong>of</strong><br />

converted land, loss <strong>of</strong> agriculture production, changes in the levels <strong>of</strong> food<br />

security, causes <strong>of</strong> land conversion, etc. The household survey was conducted in<br />

July-September 2009. It may be mentioned that in each division four villages were<br />

selected fo which three were located at the outskirt <strong>of</strong> the city, district <strong>to</strong>wn and<br />

Upazilla <strong>to</strong>wn and another was the rural village. In all these villages in a division<br />

100 households were interviewed <strong>to</strong>taling <strong>to</strong> 600 in the six divisions <strong>of</strong> Bangladesh,<br />

as shown in Table II.<br />

TABLE II<br />

SELECTED STUDY VILLAGES BY DIVISION IN 2008<br />

Division Metro-Village<br />

(City<br />

Corporation<br />

Barisal Karamja<br />

(Barisal<br />

Sadar)<br />

Khulna Lata<br />

(Dumuria)<br />

Rajshahi Dharampur<br />

(Motihar)<br />

Dhaka Gacha<br />

(Joydebpur)<br />

Sylhet Bangshi Dhar<br />

(Sylhet Sadar)<br />

Chittagong Madhayam<br />

Mohra<br />

(Chittgong)<br />

Urban Village<br />

(District<br />

Town)<br />

Uttar<br />

Namajpur<br />

(Pirojpur)<br />

Bisay Khali<br />

(Jhenaidah)<br />

Bhabani Gathi<br />

(Naogaon)<br />

Paschim-<br />

Khabaspur<br />

(Faridpur)<br />

Ganipur<br />

(Sunamganj)<br />

Atia Tali<br />

(Taxmipur)<br />

Peri-urban<br />

Village<br />

(Upazila)<br />

Auria<br />

(Sharup Kathi)<br />

Helai<br />

(Kaliganj)<br />

Bil-<br />

Mohammadpur<br />

(Mohadebpur)<br />

Satero Roshi<br />

(Sadarpur)<br />

Talia<br />

(Jamalganj)<br />

Purba Lach<br />

(Raipur)<br />

Rural Area<br />

(Upazilla)<br />

Sangit Kathi<br />

(Sharup Kathi)<br />

Shalikha<br />

(Kaliganj)<br />

Chok<br />

Harballav<br />

(Mohadebpur)<br />

Amirabad<br />

(Sadarpur)<br />

Shahapur<br />

(Jamalganj)<br />

Debipur<br />

(Raipur)<br />

Total<br />

Households<br />

Interviewed<br />

(No)<br />

100<br />

100<br />

100<br />

100<br />

100<br />

100


64<br />

Bangladesh Development Studies<br />

The analysis in the report has been made on the basis <strong>of</strong> residential status <strong>of</strong> the<br />

households as (a) metropolitan, (b) urban i.e. district <strong>to</strong>wn, (c) peri-urban i.e.<br />

upazilla <strong>to</strong>wn and (d) rural. In addition <strong>to</strong> residential status, survey findings have<br />

also been examined with respect <strong>to</strong> land ownership size as functionally landless<br />

(up<strong>to</strong> 0.5 acre), marginal (0.51 acre <strong>to</strong> 1.0 acre), small (1.01 acres <strong>to</strong> 2.5 acres),<br />

medium (2.51 acres <strong>to</strong> 5.0 acres) and large (5.01 acres and above). The main<br />

hypothesis <strong>of</strong> the study is that proportional share <strong>of</strong> converted <strong>agricultural</strong> land <strong>to</strong><br />

non-agriculture rises with the level <strong>of</strong> urbanisation while declines with the increase<br />

in land ownership size <strong>of</strong> the household. That implies that the rates <strong>of</strong> land<br />

conversion are higher in metro and urban villages and also among the land poor<br />

and, hence, they are becoming more vulnerable <strong>to</strong> food insecurity.<br />

II. SOCIO-ECONOMIC CHARACTERISTICS OF THE<br />

SAMPLE HOUSEHOLDS<br />

II.1 Size <strong>of</strong> the Family and Occupational Distribution<br />

The average size <strong>of</strong> the family in the study areas was 5.1, which is little higher<br />

than the national average <strong>of</strong> 4.85 in 2007 (BBS 2007). The largest family size was<br />

found in large land owners’ group and the least in the case <strong>of</strong> landless households<br />

that reflects the country’s general situation.<br />

About the occupational distribution <strong>of</strong> the household heads in the surveyed<br />

villages, cultivation was identified <strong>to</strong> be the highest occupation, followed by trading<br />

and labour. Forty four per cent <strong>of</strong> the households were occupied in agriculture<br />

against BBS findings <strong>of</strong> 47.5 per cent in 2005. The occupational distribution also<br />

shows that the proportional share <strong>of</strong> the cultiva<strong>to</strong>r households expected, while that<br />

<strong>of</strong> the traders declines from 31 per cent <strong>to</strong> 15 per cent (Table III). Such declining<br />

trend was also noted in both the service holders’ and that transport workers’ groups.<br />

The pattern <strong>of</strong> occupational distribution in the study areas thus is very similar <strong>to</strong> the<br />

country’s average situation.<br />

II.2 <strong>Land</strong> Use in the Surveyed Villages<br />

As far as the land use is concerned, the crop land had the highest coverage <strong>of</strong> 78<br />

per cent with marginal variation by the residential status <strong>of</strong> the localities (74 <strong>to</strong> 81<br />

per cent). The next important land use was in the homestead area sharing 11 per<br />

cent <strong>of</strong> <strong>to</strong>tal area coverage. Its average size was estimated <strong>to</strong> be 0.18 acre, very close<br />

<strong>to</strong> the national average. The two other important land uses were recorded in orchard<br />

and bamboo bushes and the non-crop agriculture (Table IV). <strong>Non</strong>-crop agriculture<br />

had a larger share in metropolitan village, may be occupied by poultry and dairy<br />

farms.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 65<br />

II.3 <strong>Land</strong> Ownership Distribution<br />

The average land ownership size was 1.68 acres ranging from 1.46 acres in<br />

metropolitan village <strong>to</strong> 1.86 acres in rural village. The largest size was recorded in<br />

the rural area as expected.<br />

The average land ownership size <strong>of</strong> the landless households was 0.22 acre and<br />

in the case <strong>of</strong> large owners the size was estimated <strong>to</strong> be 8.40 acres (Table V).<br />

The distribution <strong>of</strong> households shows that about one-third <strong>of</strong> them was<br />

functionally landless (up<strong>to</strong> 0.5 acre), followed by small land owners (1.0 <strong>to</strong> 2.5<br />

acres) estimated <strong>to</strong> be 26 per cent as shown in Table VI. The BBS survey 2007 on<br />

household income and expenditures, on the other hand, found higher proportion <strong>of</strong><br />

the functionally landless (60 per cent) and the small land owners only 17.6 per cent.<br />

The lower proportion <strong>of</strong> the landless in the present survey was mainly due <strong>to</strong><br />

exclusion <strong>of</strong> the completely landless households numbering <strong>to</strong> over 10 per cent <strong>of</strong><br />

<strong>to</strong>tal households while selecting the households from the list prepared by the<br />

SAAOs <strong>of</strong> the DAE.<br />

The number <strong>of</strong> large owner households was 7.0 per cent owning 35 per cent <strong>of</strong><br />

<strong>to</strong>tal land. The marginal land owners including the functionally landless households<br />

shared 14 per cent <strong>of</strong> <strong>to</strong>tal owned by the interviewed households (Table VI). It may<br />

be pointed out that the share <strong>of</strong> large owners’ land <strong>to</strong> all land was 39 per cent in<br />

both the metro-village and the urban village, indicating more skewed distribution <strong>of</strong><br />

land in these villages. Any way, the overall pattern <strong>of</strong> land distribution in the<br />

surveyed villages is very similar <strong>to</strong> the average distribution pattern <strong>of</strong> land in<br />

Bangladesh.<br />

TABLE III<br />

OCCUPATIONAL DISTRIBUTION OF HOUSEHOLD HEADS BY RESIDENCE<br />

(Per Cent)<br />

Principal Occupation Metropolitan Urban Pre-urban Rural Total<br />

Crop Agriculture 30.0 42.7 46.0 54.7 43.3<br />

<strong>Non</strong>-crop Agriculture 0.7 2.0 0 1.3 1.0<br />

Labour 12.0 4.7 12.0 10.7 `9.8<br />

Transport 3.3 4.0 2.0 1.3 2.7<br />

Trading 30.7 24.0 26.0 15.3 24.0<br />

Service 14.0 10.7 8.0 5.3 9.5<br />

House Work 0.7 3.3 1.3 3.3 2.2<br />

Industry 0 0.7 0 0.7 0.3<br />

Old age 4.7 3.3 3.3 6.0 4.3<br />

Retired 4.0 4.7 1.3 1.3 2.8<br />

Total 100.0 100.0 100.0 100.0 100.0<br />

Source: Field Survey, BUP, 2009.


66<br />

Bangladesh Development Studies<br />

TABLE IV<br />

LAND USE AND ITS AVERAGE OWNERSHIP SIZE BY RESIDENCE IN 2008<br />

<strong>Land</strong> use<br />

Metropolitan Urban Peri-urban Rural All areas<br />

% <strong>of</strong> Average % <strong>of</strong> Average % <strong>of</strong> Average % <strong>of</strong> Average % <strong>of</strong> Average<br />

<strong>Land</strong> (acre) <strong>Land</strong> (acre) <strong>Land</strong> (acre) <strong>Land</strong> (acre) <strong>Land</strong> (acre)<br />

Homestead and its<br />

Adjacent Area<br />

10.2 0.15 10.5 0.19 9.8 0.16 12.3 0.23 10.8 0.18<br />

Crop <strong>Land</strong> 73.8 1.46 79.1 1.87 80.9 1.50 76.0 1.67 77.6 1.62<br />

Orchard and<br />

Bamboo Bush<br />

2.9 0.11 4.8 0.22 5.0 0.15 6.6 0.18 5.0 0.17<br />

<strong>Non</strong>-crop<br />

<strong>Agricultural</strong> <strong>Land</strong><br />

9.0 0.31 2.7 0.12 3.3 0.11 2.9 0.11 4.3 0.16<br />

<strong>Non</strong>-<strong>Agricultural</strong><br />

Establishments<br />

3.1 0.12 2.1 0.12 1.0 0.07 1.3 0.14 1.8 0.11<br />

Others 1.0 0.41 0.6 0.24 0.1 0.1 0.8 0.47 0.6 0.34<br />

Total 100.0 1.46 100.0 1.78 100.0 1.62 100.0 1.86 100.0 1.68<br />

Source: Field Survey, BUP, 2009.<br />

TABLE V<br />

AVERAGE LAND AREA OWNED AND THE FAMILY SIZE BY<br />

LAND OWNERSHIP SIZE OF HOUSEHOLDS<br />

<strong>Land</strong> Ownership Size Area Owned (acre) Family Size (no)<br />

<strong>Land</strong>less 0.22 4.8<br />

Marginal 0.47 5.1<br />

Small 1.63 4.9<br />

Medium 3.42 5.7<br />

Large 8.40 6.2<br />

All Households<br />

Source: Field Survey, BUP, 2009.<br />

1.68 5.1<br />

Note: <strong>Land</strong>less up<strong>to</strong> 0.5 acre; Marginal 0.51 <strong>to</strong> 1.0 acres, small 1.01 acres <strong>to</strong> 2.5 acres; Medium<br />

2.51 acres <strong>to</strong> 5.0 acres, and Large – 5.01 acres and above.<br />

TABLE VI<br />

DISTRIBUTION OF HOUSEHOLDS BY LAND OWNERSHIP SIZE AND RESIDENCE<br />

(PERCENTAGE OF HOUSEHOLDS AND AREA OWNED)<br />

Residence <strong>Land</strong>less Marginal Small (100 <strong>to</strong> Medium (250 Large (500 Total Average<br />

(below 50 (50-99 249 decimals) <strong>to</strong> 499 decimals and Households Ownership<br />

decimal) decimal)<br />

decimal) above) (No.) Size (acre)<br />

Metropolitan 38.7 24.7 18.7 10.0 8.0 150 1.46<br />

(4.9) (11.9 (20.6) (23.3) (39.3 (100)<br />

Urban 36.7 20.0 23.3 13.3 6.7 150 1.78<br />

(4.0) (8.1) (21.5) (27.2) (39.2) (100)<br />

Peri-urban 28.0 25.3 26.7 12.7 7.3 150 1.62<br />

(4.6) (12.2) (26.5) (25.8) (31.0) (100)<br />

Rural 23.3 22.0 34.0 14.7 6.0 150 1.86<br />

(3.3) (8.8) (30.1) (26.5) (31.3) (100)<br />

All Households 31.7 23.0 25.7 12.7 7.0 600 1.68<br />

(4.1) (10.1) (24.9) (25.8) (35.0) (100)<br />

Source: Field Survey, BUP, 2009.<br />

Note: Figures within brackets indicate the per cent area owned by them in each residential area.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 67<br />

III. AGRICULTURAL LAND CONVERTED TO NON-AGRICULTURE<br />

III.1 Amount <strong>of</strong> <strong>Land</strong> Converted<br />

The current survey estimated that during the eight year study period <strong>of</strong> 2001 <strong>to</strong><br />

2008, 46.25 acres <strong>of</strong> <strong>agricultural</strong> land was converted <strong>to</strong> non-agriculture (Table VII).<br />

In such conversion 251 land owners i.e. 42 per cent <strong>of</strong> interviewed households were<br />

involved. <strong>Land</strong> converters during the period were maximum in metro-village<br />

(54 per cent) and the lowest in peri-urban and rural villages (35 per cent). Among<br />

the divisions, Dhaka recorded the highest proportion <strong>of</strong> converters (52 per cent) in<br />

the area and the least in Sylhet (27 per cent) as shown in Annexure Table I.<br />

<strong>Conversion</strong> <strong>of</strong> <strong>agricultural</strong> land with respect <strong>to</strong> <strong>to</strong>tal land owned in the year<br />

2001 in the surveyed villages during the study period amounts <strong>to</strong> 4.50 per cent or<br />

0.56 per cent per year. The annual rate <strong>of</strong> conversion varies from 0.25 <strong>to</strong> 0.74 per<br />

cent in peri-urban and urban-village respectively (Table VII). The present estimate<br />

is lower than the previous figure <strong>of</strong> about one per cent, <strong>of</strong>ten quoted. The higher<br />

rates <strong>of</strong> conversion in the current survey were noted in both urban and metrovillages<br />

as hypothesised. This is considered <strong>to</strong> be mainly due <strong>to</strong> higher price <strong>of</strong> land<br />

(Annexure Table II). It is also important <strong>to</strong> note that the price <strong>of</strong> homestead land is<br />

higher by 45 per cent compared <strong>to</strong> that <strong>of</strong> farm land, recording wide variation<br />

among the Divisions. Farm land in Sylhet is observed <strong>to</strong> be cheapest as it is<br />

generally single cropped and people do not prefer farming. The lower conversion in<br />

peri-urban villages might be due <strong>to</strong> stagnation in physical infrastructure building<br />

and in the functioning <strong>of</strong> the local government-Upazilla Parishad during the period.<br />

III.2 <strong>Conversion</strong> <strong>of</strong> <strong>Land</strong> by Division<br />

About the annual rate <strong>of</strong> conversion <strong>of</strong> land by region, the highest rate <strong>of</strong><br />

conversion during the period was recorded in Dhaka division (estimated <strong>to</strong> be 1.45<br />

per cent per year), while the lowest rate <strong>of</strong> conversion was experienced in Khulna<br />

division, only 0.26 per cent a year (Annexure Table I). Chittagong and Sylhet<br />

divisions had the conversion rate <strong>of</strong> 0.45 and 0.47 per cent respectively.<br />

Average amount <strong>of</strong> land converted during the period amounts <strong>to</strong> 18.4 decimals<br />

by the converter households and 7.7 decimals when considered all households.<br />

Among the converters it was as high as 28.5 decimals in Dhaka Division, while the<br />

lowest was in Barisal (7.6 decimals) as shown in Annexure Table III. According <strong>to</strong><br />

residential status, maximum converted area per household was recorded in both<br />

rural and urban area (24.8 decimals each). Of all the converters the highest number<br />

was observed in the metro-villages constituting about one-third <strong>of</strong> this <strong>to</strong>tal<br />

household in this category.


68<br />

III.3 <strong>Conversion</strong> <strong>of</strong> <strong>Land</strong> by <strong>Land</strong> Ownership Size<br />

Bangladesh Development Studies<br />

According <strong>to</strong> land ownership size the proportion <strong>of</strong> land converters generally<br />

increases with their size, the average being 42 per cent. It increases from 30 per cent<br />

among landless households <strong>to</strong> 35 per cent among the large landowners during 2001<br />

<strong>to</strong> 2008, which is expected (Table VIII). But in terms <strong>of</strong> land owned by them, the<br />

highest rate <strong>of</strong> conversion was recorded among the functionally landless households<br />

estimated <strong>to</strong> be 23 per cent or 2.9 per cent a year and the lowest among the large<br />

land ownership groups (1.6 per cent) or only 0.2 per cent <strong>of</strong> their land per year. In<br />

the remaining three other groups, the rate <strong>of</strong> conversion was observed <strong>to</strong> be about<br />

0.6 per cent per year. The highest rate <strong>of</strong> conversion among landless households<br />

suggests that they are becoming more vulnerable <strong>to</strong> food security, especially when<br />

their land ownership size is alarmingly low (0.22 acre).<br />

III.4 <strong>Land</strong> Converted under Different Possessions<br />

During the eight year study period, land was converted <strong>to</strong> non-<strong>agricultural</strong> uses<br />

under different possession rights other than self-ownership. Some land was sold,<br />

some acquired by the government and some was donated. The data show that the<br />

major proportion (45 per cent) <strong>of</strong> the converted was sold while only 34 per cent was<br />

converted under self ownership, where peri-urban village dominate covering 55 per<br />

cent <strong>of</strong> <strong>to</strong>tal converted land (Table IX). <strong>Land</strong> acquired by the government had also<br />

significant share (19 per cent), mostly observed in urban village (38 per cent). It<br />

may be noted that conversion after sales was substantially high in rural and in<br />

metro-village, as compared <strong>to</strong> other this categories. Such analysis by land<br />

ownership size indicates that 63 per cent <strong>of</strong> large land owners’ converted land <strong>to</strong>ok<br />

place under self-ownership, while only 17 per cent was in the case <strong>of</strong> landless<br />

category (Table X). <strong>Conversion</strong> that occurred after sales <strong>of</strong> the land was quite high<br />

among the medium land owners. Surprisingly, over half <strong>of</strong> the converted land <strong>of</strong> the<br />

landless households was derived from acquired land. Such share for the large land<br />

owners was negligible (2.1 per cent), indicating that the land poor is more adversely<br />

affected by the acquisition <strong>of</strong> land by the state.<br />

III.5 Share <strong>of</strong> Crop <strong>Land</strong> <strong>to</strong> Converted <strong>Land</strong><br />

It has been observed that <strong>of</strong> the <strong>to</strong>tal converted <strong>agricultural</strong> land, crop land<br />

occupied 90 per cent where different crops were cultivated. The remaining 10 per<br />

cent was used either in bamboo bushes and jungles or left fallow. There was some


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 69<br />

land where unplanned orchards and trees were also grown. The share <strong>of</strong> crop land<br />

was the highest in rural villages (95 per cent) and the lowest (85 per cent) in both<br />

the peri-urban and metropolitan villages (Table VII). 1 Among the five land<br />

ownership categories, the share <strong>of</strong> crop land in the converted land was the highest<br />

(93 per cent) in small category and the lowest (85 per cent) among the marginal<br />

land category (Table VIII). In Dhaka division, 95 per cent <strong>of</strong> the converted land was<br />

derived from crop land, indicating that there is little scope for further urban<br />

expansion in the division without losing valuable crop land, which is a matter <strong>of</strong><br />

serious concern.<br />

III.6 <strong>Agricultural</strong> <strong>Land</strong> Converted at the National Level<br />

According <strong>to</strong> our estimate, <strong>agricultural</strong> land is being converted at a rate <strong>of</strong> 0.56<br />

per cent per year. On the basis <strong>of</strong> this rate <strong>of</strong> conversion and the country’s <strong>to</strong>tal<br />

cultivated area <strong>of</strong> all farm households amounting <strong>to</strong> 7.19 million hectares in 1996,<br />

conversion <strong>of</strong> land amounts <strong>to</strong> 40,452 hectares per year.<br />

Another estimate based on annual per household conversion <strong>of</strong> land @ 0.0096<br />

acre {(46.25 acres ÷ 600) ÷ 8} and the rural land owning households numbering <strong>to</strong><br />

16.01 million or {(17.828 − 1.815 or 10.18% completely landless)} in 1996 annual<br />

converted land is estimated <strong>to</strong> be 62,478 hectares. <strong>Non</strong>e <strong>of</strong> these estimates is close<br />

<strong>to</strong> the previously quoted figure <strong>of</strong> over 80,000 hectares. Furthermore if the<br />

previously quoted figure <strong>of</strong> 80,000 hectares is taken in<strong>to</strong> account, <strong>to</strong>tal converted<br />

land in the country comes <strong>to</strong> 720,000 hectares during the nine year period <strong>of</strong> 1996 <strong>to</strong><br />

2005. But the <strong>to</strong>tal cultivated area in rural Bangladesh remains almost the same<br />

(17.77 million acres) in both the years <strong>of</strong> 1996 and 2005 with marginal difference <strong>of</strong><br />

only 46,000 acres. We may, therefore, conclude that the previous figure <strong>of</strong> land<br />

conversion is an over estimate.<br />

1<br />

Chi-square test shown that there was statistically significant difference in the rate <strong>of</strong><br />

conversion <strong>of</strong> land between the urban and peri-urban village.


70<br />

Residence<br />

Bangladesh Development Studies<br />

TABLE VII<br />

AMOUNT OF LAND CONVERTED DURING THE PERIOD OF 8 YEARS<br />

FROM 2001 TO 2008 BY RESIDENCE<br />

Total <strong>Land</strong><br />

Owned in<br />

2001<br />

(acres)<br />

Total <strong>Land</strong><br />

Converted<br />

(acres)<br />

Per cent<br />

<strong>Land</strong><br />

Converted<br />

in 8 Years<br />

Annual<br />

Rate <strong>of</strong><br />

<strong>Conversion</strong><br />

(%) Crop<br />

<strong>Land</strong><br />

Per cent <strong>of</strong><br />

Converted <strong>Land</strong><br />

from<br />

<strong>Non</strong>crop<br />

<strong>Land</strong><br />

Metro-village 225.11 12.24(54) 5.44 0.68 85.38 14.62<br />

Urban Village 276.0 16.35(44) 5.92 0l.74 90.21 9.79<br />

Peri-urban Village 240.66 4.75(35) 1.97 0.25 85.26 14.74<br />

Rural Village 286.31 12.91(35) 4.51 0.56 95.43 4.57<br />

All Areas 1028.0 46.25 4.50 0.56 89.88 10.12<br />

Source: Field Survey, BUP, 2009.<br />

Note: Figures within parentheses indicate the per cent <strong>of</strong> households who converted<br />

<strong>agricultural</strong> land <strong>to</strong> non-<strong>agricultural</strong> uses in each residence category.<br />

TABLE VIII<br />

NUMBER OF HOUSEHLDS CONVERTED LAND AND THE AMOUNT OF LAND<br />

CONVERTED BY LAND OWNERSHIP SIZE DURING THE<br />

EIGHT YEAR PERIOD 2001-2008<br />

<strong>Land</strong> Ownership Size<br />

No. <strong>of</strong><br />

Households<br />

Converted<br />

Per Cent <strong>of</strong><br />

Households<br />

Converted<br />

Per Cent <strong>of</strong> all<br />

Households’ Area<br />

Converted in 8<br />

Years<br />

Per Cent Share <strong>of</strong><br />

Total<br />

Crop <strong>Land</strong> <strong>Non</strong>-crop<br />

<strong>Land</strong><br />

<strong>Land</strong>less 68 36 22,9 (2.86) 90.8 9.2<br />

Marginal 48 35 4.6 (058) 82.9 17.1<br />

Small 69 45 4.6 (0.58) 93.1 6.7<br />

Medium 43 56 4.7 (0.59) 88.9 11.1<br />

Large 23 55 1.6 (0.20) 89.0 11.0<br />

All Households 251 42 4.5 (0.56) 89.9 10.1<br />

Source: Field Survey, BUP, 2009.<br />

Note: Figures in the parentheses indicate annual rate <strong>of</strong> conversion.<br />

TABLE IX<br />

AMOUNT OF LAND CONVERTED BY POSSESSION STATUS AND RESIDENCE<br />

(Percentage)<br />

Residence Self- Sold Acquired Donation Others<br />

Ownership<br />

Occupation<br />

Metro-village 40.36 56.45 0.65 1.96 0.57<br />

Urban Village 30.46 29.72 38.04 1.77 -<br />

Peri-urban Village 54.95 31.37 9.05 4.63 -<br />

Rural Village 23.55 59.02 15.65 1.78 -<br />

All Areas 33.66 45.15 18.92 2.12 0.15<br />

Source: Field Survey, BUP, 2009.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 71<br />

TABLE X<br />

AMOUNT OF LAND CONVERTED BY POSSESSION STATUS AND THE<br />

LAND OWNERSHIP SIZE<br />

(Percentage)<br />

<strong>Land</strong> Ownership Size Self- Ownership Sold Acquired Donation Others<br />

<strong>Land</strong>less 16.78 27.14 52.83 2.74 0.51<br />

Marginal 48.83 45.20 2.13 3.84 -<br />

Small 28.94 51.15 17.28 2.55 0.09<br />

Medium 34.83 61.09 2.64 1.44 -<br />

Large 63.30 34.57 2.13 - -<br />

All Households 33.66 45.15 18.92 2.12 0.15<br />

Source: Field survey, BUP, 2009.<br />

IV. MAIN USES OF CONVERTED LAND AND LOSS OF<br />

AGRICULTURAL PRODUCTION<br />

IV.1 <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> <strong>of</strong> Converted <strong>Land</strong><br />

Information collected indicates that more than half (55 per cent) <strong>of</strong> the<br />

converted local was used in housing predominantly in metro villages (60 per cent),<br />

as expected. The next two important uses were in the construction <strong>of</strong> roads and<br />

business establishments covering 10 and 8 per cent respectively (Table XI). <strong>Non</strong>reported<br />

area <strong>of</strong> use was also substantial (15 per cent). The share <strong>of</strong> such land was<br />

the largest in rural villages (25 p[er cent). Among different residential status <strong>of</strong> the<br />

households, the second most important utilisation in peri-urban villages was road<br />

construction covering 19 per cent <strong>of</strong> its converted land. In urban villages, next <strong>to</strong><br />

housing, other major uses were (a) business establishments, (b) agro-based<br />

industries, (c) education and health institutions, and (d) road construction, each<br />

clearing five per cent <strong>of</strong> <strong>to</strong>tal converted land.<br />

It is interesting <strong>to</strong> look at the pattern <strong>of</strong> non-<strong>agricultural</strong> uses <strong>of</strong> the converted<br />

land by their possession or ownership status. Converted land under self-ownership<br />

was used predominantly in housing <strong>to</strong> the extent <strong>of</strong> 78 per cent for all villages taken<br />

<strong>to</strong>gether but it was as high as 89 per cent in rural villages. The next important uses<br />

were in business establishment (13 per cent) and brick fields (3 per cent), as shown<br />

in Annexure Table IV. The principal non-<strong>agricultural</strong> use <strong>of</strong> sold out land was also<br />

in housing (30 per cent) but over half <strong>of</strong> such land (56 per cent) remained<br />

unreported, as the owners did not stay there and the respondents were not aware <strong>of</strong><br />

their current uses. Next <strong>to</strong> housing the land was occupied by mills and fac<strong>to</strong>ries (7<br />

per cent), concentrated in metro-villages (13 per cent). The land sold in urban


72<br />

Bangladesh Development Studies<br />

villages was largely used for <strong>of</strong>fice buildings and other public utilities (11 per cent),<br />

next <strong>to</strong> housing (44 per cent). Converted land in others’ possessions e.g. acquired,<br />

donations, etc. had the substantial use in the construction <strong>of</strong> road <strong>to</strong> the extent <strong>of</strong> 57<br />

per cent <strong>of</strong> such category land (Annexure Table IV). The next important use was by<br />

health and educational organisations, especially in metro villages. In peri-urban<br />

villages, public welfare institutions had also significant share <strong>of</strong> converted land.<br />

There were wide regional variations in the non-<strong>agricultural</strong> use <strong>of</strong> converted<br />

land. For example, housing in Barisal covered as high as 77%; while it was only<br />

41% in Sylhet where the requirement for new houses seemed lower. In Sylhet, the<br />

second most important use was the construction <strong>of</strong> roads occupying 29 per cent <strong>of</strong><br />

land. In Dhaka, non-reported area was <strong>of</strong> claimed the largest share (31 per cent) <strong>of</strong><br />

land, either used or not. In Barisal, public welfare establishments covered 12 per<br />

cent, the highest among six divisions.<br />

<strong>Non</strong>-<strong>agricultural</strong> uses are also found different when examined by the land<br />

ownership size <strong>of</strong> households although the housing claimed the maximum share in<br />

all the categories. Small land owners had the highest proportion (62 per cent) in<br />

housing while the medium owners had the lowest (42 per cent) still occupying the<br />

maximum proportion. In the large ownership size, next <strong>to</strong> housing, the next largest<br />

share (19 per cent) claimed by the business establishment but it had the least more<br />

among the small land owners (Table XII). Road construction claimed 16 per cent <strong>of</strong><br />

the medium owners’ converted land. In the landless group, the second highest<br />

proportional share (8.9 per cent) was occupied by health business enterprises as well<br />

as education and health organisations.<br />

IV.2 Previous <strong>Uses</strong> <strong>of</strong> Converted <strong>Land</strong><br />

As mentioned earlier, <strong>of</strong> <strong>to</strong>tal converted <strong>agricultural</strong> land, 90 per cent was crop<br />

land where different crops and vegetables were grown. Collected data show that 92<br />

per cent <strong>of</strong> crop land was under paddy and about 6 per cent was used for vegetables.<br />

The area under vegetables was higher (27 per cent) in peri-urban villages. Among<br />

different land ownership groups, the proportional shares <strong>of</strong> paddy land varied little,<br />

the highest being among the large land owners (97 per cent). In the case <strong>of</strong><br />

vegetables, marginal land owners had the highest share (12 per cent). Before<br />

conversion, non-crop land which was kept almost unutilised amounted <strong>to</strong> 78 per<br />

cent, ranging between 81 and 97 per cent in metropolitan and peri-urban villages<br />

respectively. One-tenth <strong>of</strong> the land was occupied by bamboo bushes and trees,


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 73<br />

mostly in urban areas (23 per cent). There were some scattered plots where<br />

vegetables were grown, accounting for only 6.0 per cent <strong>of</strong> land. The pattern <strong>of</strong> land<br />

use as practised before conversion indicates that the conversion <strong>of</strong> land <strong>to</strong> non<strong>agricultural</strong><br />

uses has adversely affected <strong>agricultural</strong> production, which is estimated<br />

below.<br />

IV.3 National Production Loss Based on Current Field Survey<br />

According <strong>to</strong> the present field survey, production <strong>of</strong> different crops and<br />

vegetables is lost due <strong>to</strong> conversion <strong>of</strong> farm land <strong>to</strong> non-agriculture. The main crops<br />

lost were HYV paddy, local paddy and vegetables; and <strong>to</strong>tal annual loss <strong>of</strong><br />

production was reported <strong>to</strong> be Tk.22,774 per acre (Table XIII). On the basis <strong>of</strong><br />

annual production losses <strong>of</strong> Tk.22,774 per acre, the country’s <strong>to</strong>tal loss from<br />

converted land <strong>of</strong> 40,452 hectares <strong>of</strong> 99,512 acre i.e. @ 0.56% as estimated earlier,<br />

stands at Tk. 228 crore per year.<br />

IV.4 Estimated National Loss <strong>of</strong> Rice Production<br />

It may be relevant <strong>to</strong> estimate the amount <strong>of</strong> losses <strong>of</strong> rice production due <strong>to</strong><br />

conversion <strong>of</strong> <strong>agricultural</strong> land in Bangladesh. Annual loss <strong>of</strong> rice production has<br />

been assessed on the basis <strong>of</strong> 5.12 acres <strong>of</strong> crop land as determined earlier. If the<br />

converted land is double cropped by Boro (HYV) and half by Aman (HYV) and<br />

half by local Aman considering all areas under cultivation <strong>of</strong> paddy, <strong>to</strong>tal amount <strong>of</strong><br />

annual loss <strong>of</strong> paddy from the converted land (5.12 acres) roughly amounts <strong>to</strong> 465<br />

maunds @ 90 maunds per acre or 0.028 <strong>to</strong>n per household. Total land-owning<br />

households in Bangladesh being 16.01 million, <strong>to</strong>tal loss <strong>of</strong> paddy production in the<br />

country amounts <strong>to</strong> 0.448 million or 4.5 lakh <strong>to</strong>n, which is equivalent <strong>to</strong> 3.02 lakh<br />

<strong>to</strong>ns <strong>of</strong> rice and thus, with respect <strong>to</strong> country’s <strong>to</strong>tal production <strong>of</strong> 27 million metric<br />

<strong>to</strong>ns, it stands at about 1.16 per cent. Another estimate based on the proportion <strong>of</strong><br />

<strong>agricultural</strong> land converted amounting <strong>to</strong> 5,0995 million acres and per acre annual<br />

loss <strong>of</strong> rice (2.24 <strong>to</strong>n/acre) reported above stands at 0.223 million <strong>to</strong>ns i.e. 0.86 per<br />

cent <strong>of</strong> the country’s annual production <strong>of</strong> rice. It would thus appear that due <strong>to</strong><br />

conversion <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> non-agriculture, annual loss <strong>of</strong> rice production<br />

amounts <strong>to</strong> between 0.86 and 1.16 per cent <strong>of</strong> the country’s <strong>to</strong>tal rice production,<br />

which is not a negligible amount.


74<br />

TABLE XI<br />

NON-AGRICULTURAL USES OF CONVERTED<br />

AGRICULTURAL LAND BY RESIDENCE4<br />

Bangladesh Development Studies<br />

(Percentage)<br />

Current Use Metropotitan Urban Peri-urban Rural Total<br />

Shop/Business Enterprise 10.53 5.26 9.52 7.5 8.47<br />

Agro-based Industries - 5.26 - - 1.13<br />

Education & Health Organisation 3.51 5.26 2.38 - 2.82<br />

Construction <strong>of</strong> Road 5.26 5.26 19.05 10.00 9.60<br />

Construction <strong>of</strong> House 59.65 55.26 52.38 50.00 54.80<br />

Mills/Fac<strong>to</strong>ries 5.26 - - 2.5 2.67<br />

Unutilised 1.75 - - - 0.56<br />

Public Offices & Utilities 1.75 7.89 - 5.00 2.82<br />

Brick Fields 1.75 2.63 2.38 - 1.69<br />

<strong>Non</strong> Reported 10.53 13.16 14.29 25.00 15.25<br />

All <strong>Uses</strong> 100.0 100.0 100.0 100.0 100.0<br />

Source: Field Survey, BUP, 2009.<br />

TABLE XII<br />

NON-AGRICULTURAL USES OF CONVERTED AGRICULTURAL<br />

LAND BY LAND OWNERSHIP SIZE<br />

(Percentage)<br />

Current Use <strong>Land</strong>less Marginal Small Medium Large Total<br />

Shop/Business Enterprise 8.89 6.45 2.13 13.16 18.75 8.47<br />

Agro-based Industries - - 2.13 - 6.25 1.13<br />

Education & Health<br />

Organisation<br />

8.89 3.23 - - - 2.82<br />

Construction Road 2.22 9.68 10.64 15.79 12.50 9.60<br />

Construction <strong>of</strong> House 55.56 58.06 61.70 42.11 56.25 54.80<br />

Mills/Fac<strong>to</strong>ries - - 2.13 5.26 6.25 2.26<br />

Unutilised 2.22 - - - - 0.56<br />

Public Offices & Utilities 2.22 6.46 6.36 - - 2.82<br />

Brick Fields 2.22 3.23 - 2.63 - 1.69<br />

<strong>Non</strong> Reported 17.78 12.90 14.89 21.05 - 15.25<br />

All <strong>Uses</strong> 100.0 100.0 100.0 100.0 100.0 100.0<br />

Source: Field Survey, BUP, 2009.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 75<br />

TABLE XIII<br />

ANNUAL PRODUCTION LOSS DUE TO CONVERSION OF<br />

CROP LAND BY TYPE OF CROPS GROW<br />

Crops Grown Total Area (acre) Total Loss <strong>of</strong> Crops<br />

and others (Tk)<br />

Per Acre Loss (Tk)<br />

HYV Paddy 28.88 644,137 22,304<br />

Local Paddy 9.28 194,650 20,975<br />

Vegetables 2.32 86,800 37,414<br />

Bamboo Bushes, Nursery &<br />

others<br />

`0.94 17,700 18,830<br />

All Crops and Others 41.42 94,287 22,774<br />

Source: Field Survey, BUP, 2009.<br />

Note: Total loss <strong>of</strong> crops were estimated on the base <strong>of</strong> per acre yield <strong>of</strong> different crops on the<br />

prevailing market prices at the time <strong>of</strong> field survey.<br />

V. BENEFITS TO LAND CONVERTERS<br />

<strong>Conversion</strong> <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> non-agriculture is expected <strong>to</strong> benefit the<br />

converter households in terms <strong>of</strong> higher income and improved level <strong>of</strong> food security<br />

despite losses in <strong>agricultural</strong> production. Such improvement is, however, dependent<br />

on the type <strong>of</strong> non-<strong>agricultural</strong> uses <strong>of</strong> land and their efficiency <strong>of</strong> uses. This aspect<br />

has been examined by comparing the present situations between the converter (42<br />

per cent) and the non-converters (58 per cent) <strong>of</strong> the interviewed households.<br />

V.1 Food Security <strong>of</strong> the Household Level<br />

Respondents’ opinions indicate that 43 per cent <strong>of</strong> the converter households<br />

have impressed improvement in food secure compared <strong>to</strong> 32 per cent among the<br />

non-converters and such difference in improvement has been observed in all land<br />

ownership groups, more so in the medium land owner group. Some households,<br />

however, experienced reduction in food security in both the converter and the nonconverter<br />

groups though it is lower among the converters (14.3 per cent against 22.6<br />

per cent among non-converters) as shown in Table XIV. Food security status<br />

remains almost unchanged <strong>to</strong> the extent <strong>of</strong> 42 and 46 per cent in both these groups.<br />

It is may be mentioned here that the food security levels increased by more than<br />

10 per cent over time in the case <strong>of</strong> 20 per cent <strong>of</strong> the converter households<br />

compared <strong>to</strong> only 10% among the non-converters. Proportion <strong>of</strong> households who<br />

experienced reduction in the food security levels <strong>of</strong> above 10 per cent accounts for


76<br />

Bangladesh Development Studies<br />

10 per cent among the converter households compared <strong>to</strong> 15 per cent in the case <strong>of</strong><br />

non-converter households. 2<br />

Improvement in the food security levels <strong>of</strong> the converter households over the<br />

non-converters as reported above is not, however, reflected in the amount <strong>of</strong><br />

consumption <strong>of</strong> at least three food items e.g. rice, flour and pulses. Rough estimates<br />

indicate equal levels <strong>of</strong> consumption in both these groups either in aggregate or by<br />

land ownership size. It may be mentioned that daily per capita consumption <strong>of</strong><br />

cereals and pulses in the present study was estimated <strong>to</strong> be 450 gms and 20 gms<br />

respectively by the converter households which is marginally higher than the<br />

national average <strong>of</strong> 409 gms and 14.2 gms recorded in 2005 (BBS 2007).<br />

V.2 Income <strong>of</strong> the Households<br />

It is interesting <strong>to</strong> note that income <strong>of</strong> the converter households was observed <strong>to</strong><br />

be higher by about 50 per cent over that <strong>of</strong> the non-converters household. Such<br />

higher income was recorded in all size ownership groups, but more so among the<br />

marginal and the large land owners. The converters have also higher share <strong>of</strong><br />

income from trade and businesses (42 per cent against 36 per cent) and different<br />

services (24 per cent against 22 per cent).<br />

It may be pointed out that the improved level <strong>of</strong> food security among the<br />

converter households may not be due <strong>to</strong> land conversion alone. It could be the<br />

combined outcome <strong>of</strong> several fac<strong>to</strong>rs such as land ownership size <strong>of</strong> the households,<br />

their levels <strong>of</strong> education, occupational status, etc. It may, however, be mentioned<br />

that the average size <strong>of</strong> land owned by a converter household is substantially higher<br />

( ) over the non-converters’ owned area and (prominently observed among the land<br />

rich). They had also higher land ownership size in 2001 (2.22 acres). The converter<br />

households might also be more favourably located in terms <strong>of</strong> the infrastructure<br />

development <strong>of</strong> the area. This, however, needs further investigation. Furthermore,<br />

the average value <strong>of</strong> household assets is found <strong>to</strong> be almost equal among both the<br />

converter and the non-converter households. Substantial differences are, however,<br />

noticed in the case <strong>of</strong> non-housing assets i.e. in terms <strong>of</strong> <strong>agricultural</strong> equipment,<br />

lives<strong>to</strong>ck, plantations, etc. It is found <strong>to</strong> be double for converter households. The<br />

average value <strong>of</strong> such productive assets <strong>of</strong> these households is estimated <strong>to</strong> be<br />

Tk.92,458.<br />

2 These figures are based on perception <strong>of</strong> the respondents in the field survey.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 77<br />

V.3 Reasons for Changes in Food Security Levels: Respondents’ Views<br />

Respondents among the converter households, whose food security levels<br />

improved, opined that the increase in non-<strong>agricultural</strong> income was the principal<br />

determinant <strong>of</strong> such improvement. This has been possible due <strong>to</strong> expansion in their<br />

business. The other important fac<strong>to</strong>rs were increased crop production and more<br />

working members in a family. Among the non-converters, three major facilitating<br />

fac<strong>to</strong>rs as identified by them were the same as is above while the fourth one was<br />

increased remittances from abroad.<br />

The deterioration in the food security levels is caused by a variety <strong>of</strong> fac<strong>to</strong>rs.<br />

They are almost the same for both these groups–converter and non-converter<br />

households. According <strong>to</strong> the converter households, the decline in food security was<br />

caused by (i) the decrease in <strong>agricultural</strong> land and consequently, lower production<br />

<strong>of</strong> crops, (ii) increase in food prices, (iii) decline in working members in a family<br />

and (iv) increase in the number <strong>of</strong> members in a family. In the case <strong>of</strong> nonconverters,<br />

all the above mentioned causes are applicable but <strong>to</strong> them the<br />

predominant fac<strong>to</strong>r was the increased food price. Overall, we may conclude that the<br />

conversion <strong>of</strong> <strong>agricultural</strong> land by a household leads <strong>to</strong> increased non-<strong>agricultural</strong><br />

income and consequently higher level <strong>of</strong> food security. However, the national<br />

concern is the attainment <strong>of</strong> minimum level <strong>of</strong> food security and also <strong>to</strong> arrest the<br />

rate <strong>of</strong> land conversion for sustained <strong>agricultural</strong> development in the country.<br />

TABLE XIV<br />

CHANGES IN THE LEVELS OF FOOD SECURITY BY LAND OWNERSHIP<br />

SIZE AND CONVERSION STATUS OF HOUSEHOLDS<br />

(Percentage)<br />

<strong>Land</strong> Ownership<br />

Size Converter <strong>Non</strong>-<br />

Converter<br />

Reduced Unchanged Increased<br />

Converter <strong>Non</strong>-<br />

Converter<br />

Converter <strong>Non</strong>-<br />

Converter<br />

<strong>Land</strong>less 17.6 30.3 45.6 40.2 36.7 29.5<br />

Marginal 16.7 27.8 45.8 47.8 37.5 24.4<br />

Small 17.4 12.9 44.9 52.9 37.7 34.1<br />

Medium 4.6 9.1 32.6 48.5 62.8 42.4<br />

Large 8.7 15.8 34.8 31.6 56.5 52.6<br />

All Households 14.3 22.6 42.2 45.5 43.5 31.8<br />

Source: Field Survey, BUP, 2009.


78<br />

VI. DETERMINANTS OF LAND CONVERSION<br />

VI.1 Determinants <strong>of</strong> <strong>Land</strong> <strong>Conversion</strong>: Regression Results<br />

Bangladesh Development Studies<br />

<strong>Conversion</strong> <strong>of</strong> <strong>agricultural</strong> land <strong>to</strong> non-agriculture is dependent on a variety <strong>of</strong><br />

fac<strong>to</strong>rs such as number <strong>of</strong> members in a family, income earning possibilities from<br />

agriculture and non-agriculture uses <strong>of</strong> land besides state acquisition for<br />

construction <strong>of</strong> roads and institutional building, etc. Regressions analyses in this<br />

regard can provide better explanation by identifying the fac<strong>to</strong>rs that determine the<br />

amount <strong>of</strong> land area <strong>to</strong> be converted <strong>to</strong> non-agriculture by the households. To this<br />

end, linear regression model is fitted taking in<strong>to</strong> account several explana<strong>to</strong>ry<br />

variables for the year 2001. * The independent variables used in the model are:<br />

i) Total land owned by household :T-LAND (decimals);<br />

ii) Homestead land owned by a household : HOME (decimals);<br />

iii) Proportion <strong>of</strong> non-crop land <strong>to</strong> <strong>to</strong>tal land owned : PNC (%)<br />

iv) Primary occupation <strong>of</strong> the household head : P-OCCUP (agriculture=0 &<br />

non-agriculture=1)<br />

v) Years <strong>of</strong> schooling <strong>of</strong> the household head : (number);<br />

vi) Per capita annual income : PCI (Tk);<br />

vii) Household assets other than housing : Asset (Tk);<br />

viii) Disaster losses : DISASTER (Tk);<br />

ix) Study Area Dummy (Rural = 0);<br />

x) Dummy for Peri-urban (PERI-UR=1);<br />

xi) Dummy for Urban (URBAN=2);<br />

xii) Dummy for Metro (METRO=3).<br />

The linear regression exercise hypothesises that the area <strong>of</strong> <strong>agricultural</strong> land<br />

converted by a household rises with the increase in its land ownership size,<br />

homestead area and proportional share <strong>of</strong> non-crop land <strong>to</strong> <strong>to</strong>tal land owned.<br />

Household heads with non-<strong>agricultural</strong> occupations and their years <strong>of</strong> schooling are<br />

also expected <strong>to</strong> encourage land conversion as they are more exposed <strong>to</strong> non<strong>agricultural</strong><br />

activities. Per capita annual income and value <strong>of</strong> non-housing assets i.e.<br />

<strong>agricultural</strong> equipment, lives<strong>to</strong>ck’s, etc. are considered <strong>to</strong> have negative impact on<br />

land conversion as they can use their land better for higher <strong>agricultural</strong> production<br />

and more income. About the dummy variable rural village is taken <strong>to</strong> be ‘0’ i.e. with<br />

*<br />

Similar exercise has also been carried out for the data <strong>of</strong> 2008 and the results are found <strong>to</strong><br />

be quite similar.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 79<br />

respect. ‘0’ rural village, shift <strong>of</strong> study area <strong>to</strong> peri-urban, urban and metro city there<br />

is increasing possibility for land conversion due <strong>to</strong> urbanisation and different other<br />

commercial activities.<br />

The results <strong>of</strong> linear regression exercise show that both the <strong>to</strong>tal land owned by<br />

a household and the area under homestead have highly significant impact on the rate<br />

<strong>of</strong> land conversion (Table XV). The first variable has a positive effect and in case <strong>of</strong><br />

10 per cent increase in <strong>to</strong>tal area, there would be an increase in land conversion by<br />

3.5 per cent. An increase in homestead land by 10 per cent, would result in a decline<br />

<strong>of</strong> land conversion by 1.4 per cent, which is contrary <strong>to</strong> our expectation. May be<br />

their homestead area is small and therefore, little scope exists for enterprise<br />

expansion other than housing. Positive effect <strong>of</strong> primary occupation <strong>of</strong> the<br />

household head is also noticed at 10 per cent level <strong>of</strong> significance, suggesting that<br />

non-<strong>agricultural</strong> occupation <strong>of</strong> the household head has positive impact on land<br />

conversion. Disaster loss, on the other hand, has significant negative impact at 10<br />

per cent level, indicating that the household become more conscious <strong>of</strong> retaining<br />

crop land for food security reason due <strong>to</strong> damages occurred due <strong>to</strong> natural<br />

calamities.<br />

Sl. No.<br />

TABLE XV<br />

DETERMINANTS OF LAND CONVERSION: RESULTS LINEAR REGRESSION<br />

Dependent Variable; is Total <strong>Land</strong> Converted (Decimals)<br />

Independent Variables Beta Sig.<br />

i. T-LAND 0.356 0.000<br />

ii. HOME (-) 0.139 0.003<br />

iii. P-OCCUP 0.105 0.016<br />

iv. Years <strong>of</strong> Schooling (No) (-) 0.006 0.894<br />

v. PCI 0.059 0.194<br />

vi. PNC (-) 0.077 0.087<br />

vii. ASSET 0.012 0.775<br />

viii. DISASTER (-) 0.079 0.056<br />

ix. METRO (-) 0.029 0.561<br />

x. URBAN 0.019 0.686<br />

xi. PERI-UR (-) 0.085 0.077<br />

Adjusted R Square 0.119 -<br />

Source: Author’s estimate.


80<br />

VI.2 Arresting <strong>Land</strong> <strong>Conversion</strong>: Respondents’ Opinions<br />

Bangladesh Development Studies<br />

It is wieldy recognised that conversion <strong>of</strong> land should be discouraged in<br />

Bangladesh for ensuring food security in the country. The respondents have put<br />

forward some suggestions for arresting the current rate <strong>of</strong> land conversion. Their<br />

recommendations include the following (Table XVI):<br />

(i) agriculture should be made more pr<strong>of</strong>itable and attractive (49 per cent);<br />

(ii) special tax should be imposed on conversion <strong>of</strong> land (30 per cent);<br />

(iii) area-wise ceiling may be fixed for non-<strong>agricultural</strong> uses <strong>of</strong> land (11 per<br />

cent);<br />

(iv) tax exemption may be <strong>of</strong>fered for commercial farms and the agro-based<br />

industries (10 per cent).<br />

While asking the respondents’ views <strong>to</strong>wards increasing pr<strong>of</strong>itability <strong>of</strong><br />

agriculture, they emphasise for raising <strong>of</strong> crop prices in the harvest seasons, ensured<br />

timely supplies <strong>of</strong> <strong>agricultural</strong> inputs at reasonable prices, and productivity increase<br />

<strong>of</strong> land through adoption <strong>of</strong> modern technologies and effective <strong>agricultural</strong><br />

extension services. These suggestions are almost equally applicable <strong>to</strong> all land<br />

ownership groups and the residential status <strong>of</strong> the households. Also, little<br />

differences are observed in their views when compared between land converters and<br />

non-converters.<br />

Open discussions with the respondents in this regard also reveal that there<br />

should be immediate control for non-<strong>agricultural</strong> use, population growth and<br />

introduction <strong>of</strong> special tax on converted land; and area specific ceiling may also be<br />

imposed <strong>to</strong> restrict indiscriminate conversion <strong>of</strong> farm land. The above mentioned<br />

suggestions lead us <strong>to</strong> conclude that <strong>to</strong> arrest the present rate <strong>of</strong> land conversion two<br />

things are essential. These are (a) strict population control <strong>to</strong> restrict faster<br />

expansion <strong>of</strong> housing and road construction, and (b) making agriculture more<br />

pr<strong>of</strong>itable and attractive.<br />

The government <strong>of</strong> Bangladesh is, however, aware <strong>of</strong> the existing problems and<br />

accordingly, it is formulating strategies <strong>to</strong>wards “Compact Townships” for rural<br />

people (Planning Commission 2009). It has also emphasised the implementation <strong>of</strong><br />

National <strong>Land</strong> Use Policy 2001, <strong>to</strong>wards restriction <strong>of</strong> unplanned housing and road<br />

construction. In this context, proper policy formulation and adequate institutional<br />

mechanism assume special significance.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 81<br />

Residential Status<br />

<strong>of</strong> Households<br />

TABLE XVI<br />

SUGGESTIONS FOR ARRESTING CONVERSION OF<br />

LAND BY RESIDENTIAL STATUS<br />

Special<br />

Tax <strong>to</strong> be<br />

Imposed<br />

Area-wise<br />

Ceiling for<br />

<strong>Non</strong>-agril.<br />

<strong>Uses</strong><br />

Tax Exemption<br />

for Agro-based<br />

Industries<br />

Agriculture<br />

should be<br />

made<br />

Pr<strong>of</strong>itable<br />

(Percentage)<br />

All<br />

Responses<br />

(No)<br />

Metropolitan 31 9 7 52 26 (280)<br />

Urban 31 10 10 49 24 (250)<br />

Peri-urban 28 12 12 48 25 (264)<br />

Rural 28 12 12 48 25 (264)<br />

All Areas 30 11 10 49 100 (1058)<br />

Source: Field Survey, BUP, 2009.<br />

VII. SUMMARY AND CONCLUSIONS<br />

The study finds that during the eight year period <strong>of</strong> 2001 <strong>to</strong> 2008 annual<br />

conversion <strong>of</strong> <strong>agricultural</strong> land amounts <strong>to</strong> 0.56 per cent against the earlier reported<br />

figure <strong>of</strong> about one per cent. Highest rate <strong>of</strong> conversion was noted in Dhaka division<br />

(1.45 per cent) and the least in Khulna (0.26 per cent). In such conversion, 42 per<br />

cent <strong>of</strong> land owner households were involved. Among the different land ownership<br />

groups maximum rate <strong>of</strong> conversion was recorded among the functionally landless<br />

households (2.86 per cent per year) and the least was in the large land owners<br />

group, (0.20 per cent).<br />

The main non-<strong>agricultural</strong> uses <strong>of</strong> converted land were identified <strong>to</strong> be housing,<br />

road construction, business establishment and educational and health organisations<br />

occupying 55,10,8 and 3 per cent <strong>of</strong> the converted land respectively, with little<br />

variations among the five land ownership groups. Converted land under selfownership<br />

was predominantly used in housing <strong>to</strong> the extent <strong>of</strong> 78 per cent but it was<br />

as high as 89 per cent in urban villages. The coverage by housing in the case <strong>of</strong> sold<br />

out land was lower (30 per cent).<br />

Based on the current estimated rate <strong>of</strong> conversion (0.56 per cent per year),<br />

annual loss <strong>of</strong> rice production in Bangladesh amounts <strong>to</strong> 0.23 million <strong>to</strong>ns or 0.86<br />

per cent <strong>of</strong> the country’s annual rice production. Similar exercise using loss <strong>of</strong><br />

paddy (0.8 maund) per land owner household, <strong>to</strong>tal amount <strong>of</strong> loss <strong>of</strong> rice comes <strong>to</strong><br />

0.302 million <strong>to</strong>ns or about 1.16 per cent.<br />

Information available indicate that the conversion <strong>of</strong> land benefits the converter<br />

households in terms <strong>of</strong> both higher household income and improved level <strong>of</strong> food


82<br />

Bangladesh Development Studies<br />

security. But the estimate <strong>of</strong> actual consumption <strong>of</strong> rice, flour and pulses was found<br />

<strong>to</strong> be almost equal. Improvement in the food security among the converter<br />

households was reportedly due <strong>to</strong> higher non-<strong>agricultural</strong> income, facilitated by<br />

expansion <strong>of</strong> business.<br />

The regression exercise carried out identifies the following fac<strong>to</strong>rs that have<br />

significant effects on the rate <strong>of</strong> conversion <strong>of</strong> <strong>agricultural</strong> land are:<br />

(i) <strong>to</strong>tal land area owned by a household;<br />

(ii) homestead area owned;<br />

(iii) primary occupation <strong>of</strong> the households head; and<br />

(iv) disaster losses incurred during the study period.<br />

The regression coefficient shows that 10 per cent increase in <strong>to</strong>tal area owned<br />

by a household leads <strong>to</strong> rise in the conversion <strong>of</strong> land by 3.5 per cent; while the<br />

increase in homestead area by 10% reduces land conversion by 1.4 per cent.<br />

Perhaps, the area under homestead is small and has little scope for expansion. <strong>Non</strong><strong>agricultural</strong><br />

occupation <strong>of</strong> the household heads also encourages land conversion.<br />

The main policy suggestions <strong>to</strong> arrest the magnitude <strong>of</strong> land conversion are:<br />

<strong>agricultural</strong> occupations need <strong>to</strong> be made more pr<strong>of</strong>itable and attractive compared <strong>to</strong><br />

non-agriculture and at the same time special tax may be imposed on the conversion<br />

<strong>of</strong> crop land. Area specific ceiling for different non-<strong>agricultural</strong> uses may be<br />

determined and imposed in industrialisation and urbanisation. Open discussions<br />

with the respondents in this regard suggest strict control on population growth,<br />

creation <strong>of</strong> more employment opportunities in rural non-farm sec<strong>to</strong>r and increase <strong>of</strong><br />

land productivity through adoption <strong>of</strong> modern technologies, <strong>to</strong> be facilitated by the<br />

use <strong>of</strong> hybrid and high yielding seeds, uninterrupted supply <strong>of</strong> electricity <strong>to</strong> the<br />

irrigation equipment and adequate <strong>agricultural</strong> credit at subsidised rates <strong>of</strong> interest.<br />

In the adoption <strong>of</strong> new technologies, improved farm management practices are<br />

required.<br />

REFERENCES<br />

Bangladesh Bureau <strong>of</strong> Statistics 2009: Preliminary Report on <strong>Agricultural</strong> Census – 2008.<br />

Government <strong>of</strong> the People’s Republic <strong>of</strong> Bangladesh, Dhaka.<br />

–––––––2007. Household Income and Expenditure Survey <strong>of</strong> Bangladesh. Government <strong>of</strong><br />

the People’s Republic <strong>of</strong> Bangladesh, Dhaka.<br />

–––––––2006. Agriculture Sample Survey <strong>of</strong> Bangladesh-2005, National Volum-1.<br />

Government <strong>of</strong> the People’s Republic <strong>of</strong> Bangladesh, Dhaka.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 83<br />

Government <strong>of</strong> the People’s Republic <strong>of</strong> Bangladesh, 2001. National <strong>Land</strong> Use Policy,<br />

Bangladesh Gazette, June 2001.<br />

Ministry <strong>of</strong> <strong>Land</strong> 2004: GIS Atlas on <strong>Land</strong> Use and Environment-Palas and Sonargaon<br />

Upazillas Government <strong>of</strong> the People’s Republic <strong>of</strong> Bangladesh, Dhaka.<br />

Planning Commission 2009. Steps Towards Change – National Strategy for Accelerated<br />

Poverty Reduction II (Revised). FY 2009-11. Government <strong>of</strong> the People’s Republic<br />

<strong>of</strong> Bangladesh, Dhaka.


84<br />

ANNEXURE TABLE I<br />

Bangladesh Development Studies<br />

AMOUNT OF LAND CONVERTED DURING THE PERIOD OF 8 YEARS<br />

FROM 2000 TO 2008 BY DIVISION OF THE COUNTRY<br />

Division Total <strong>Land</strong><br />

Owned in<br />

2001<br />

(acres)<br />

Total <strong>Land</strong><br />

Converted<br />

(acres)<br />

Per Cent<br />

<strong>of</strong> <strong>Land</strong><br />

Converted<br />

in 8 Years<br />

Annual<br />

Rate <strong>of</strong><br />

<strong>Conversion</strong><br />

(%)<br />

Per Cent <strong>of</strong><br />

Converted <strong>Land</strong><br />

from<br />

Crop<br />

<strong>Land</strong><br />

<strong>Non</strong>-crop<br />

<strong>Land</strong><br />

Barisal 87.17 3.28 (43) 3.76 0.47 78.35 21.65<br />

Khulna 190.19 3.88 (42) 2.04 0.26 82.47 17.53<br />

Rajshahi 242.13 7.42 (44) 3.06 0.38 89.76 10.24<br />

Dhaka 172.88 20.05 (52) 11.60 1.45 95.16 4.84<br />

Sylhet 194.11 6.49 (27) 3.34 0.42 86.13 13.87<br />

Chittagong 141.54 5.13 (43) 3.62 0.45 87.13 12.87<br />

All Areas 1028.01 46.25 (251) 4.50 0.56 89.88 10.12<br />

Source: Field Survey, BUP, 2009.<br />

Note: Figures within parentheses indicate the number <strong>of</strong> the converter households.<br />

ANNEXURE TABLE II<br />

AVERAGE PRICE OF LAND BY TYPE OF RESIDENCE IN 2008<br />

Residence Homestead <strong>Land</strong> Farm <strong>Land</strong><br />

(Flood Free High <strong>Land</strong>)<br />

Metro-village 1,84,265 1,36,535<br />

Urban Village 53,240 36,545<br />

Peri-urban Village 30,690 17,402<br />

Rural Village 15,339 10,109<br />

All Areas 71,165 48,852<br />

Source: Field Survey, BUP, 2009.


Quasem: <strong>Conversion</strong> <strong>of</strong> <strong>Agricultural</strong> <strong>Land</strong> <strong>to</strong> <strong>Non</strong>-<strong>agricultural</strong> <strong>Uses</strong> 85<br />

ANNEXURE TABLE III<br />

AVERAGE AREA CONVERTED BY THE CONVERTED<br />

HOUSEHOLDS (DECIMALS)<br />

Division Metropolitan Urban Peri-urban Rural Village All<br />

Village Village Village<br />

Locations<br />

Barisal 4.2 (15) 15.4 (12) 3.0 (10) 8.3 (6) 7.6 (43)<br />

Khulna 2.5 (14) 13.2 (9) 9.5 (10) 15.4 (9) 9.2 (42)<br />

Rajshahi 5.1 (16) 17.2 (11) 19.9 (8) 34.8 (9) 16.8 (44)<br />

Dhaka 41.5 (18) 73.0 (12) 11.5 (12) 24.4 (10) 38.5 (52)<br />

Sylhet 13.7 (6) 8.5 (9) 5.5 (8) 58.5 (8) 24.0 (27)<br />

Chittagong 18.0 (12) 14.5 (13) 3.9 (10) 7.7 (10) 11.9 (43)<br />

All Areas 15.1 (81) 24.8 (66) 9.1 (52) 24.8 (52) 18.4 (251)<br />

Source: Field Survey, BUP, 2009.<br />

Note: Figures within parentheses indicate the number <strong>of</strong> the converter households.<br />

Residence<br />

Metro<br />

Village<br />

Urban<br />

Village<br />

Peri-<br />

urban<br />

Village<br />

Rural<br />

Village<br />

All<br />

Villages<br />

ANNEXURE TABLE IV<br />

THREE MAJOR NON-AGRICULTURAL USES OF CROP LAND BY<br />

POSSESSION/OWNERSHIP STATUS AND THE<br />

RESIDENCE OF HOUSEHOLDS<br />

Self-ownership Sold Acquired, Donation & Others<br />

1 st 2 nd<br />

3 rd<br />

1 st 2 nd<br />

3 rd<br />

1 st 2 nd<br />

3 rd<br />

Housing Business Education Housing Fac<strong>to</strong>ries Business Road Housing/ -<br />

(87) (14) & Health/ (33) (13) (77) Construction Education<br />

Fac<strong>to</strong>ries/<br />

(50) & Health<br />

Brick<br />

Institutions<br />

Fields<br />

(3)<br />

(17)<br />

Housing Business/ Brick Housing Public - Housing/ - -<br />

(67) Agr. Fields (44) Utilities<br />

Road<br />

Industries (5)<br />

(11)<br />

Constn.<br />

(10)<br />

(25)<br />

Housing Business Brick Housing - - Road Edujcation -<br />

(81) (15) Fields (14)<br />

Constn. & Health<br />

(4)<br />

(89) Institution<br />

(11)<br />

Housing Business Brick Housing Fac<strong>to</strong>ries - Road<br />

- Business<br />

(89) (11) Fields (27) (7)<br />

Constn.<br />

(14)<br />

(3)<br />

(57)<br />

Housing Business Brick Housing Fac<strong>to</strong>ries Business Road Education Business<br />

(78) (13) Fields (30) (7) (2) Constn. & Health (14)<br />

(3)<br />

(57) Institution<br />

(13)<br />

Source: Field Survey, BUP, 2009.<br />

Note: <strong>Non</strong>-reported areas excluded self-owned land amount <strong>to</strong> 1.98% <strong>of</strong> 12.28 acres, sold area<br />

accounts for 58% <strong>of</strong> 19.98 acres; and acquired/donated shares 3% <strong>of</strong> 9.31 acres.<br />

Figures in parentheses indicate percentage shares <strong>to</strong> uses.

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